Conceptio › Archive › Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika metadata only

Penggunaan Transfer Learning untuk Peningkatan Akurasi Deteksi Penyakit Tanaman Bunga

Enteng Hardiansyah et al.
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika · Papers
Open Source ↗
computer-visiondeep-learningflowering-plantstransfer-learning
Flower disease detection is a common challenge in modern agriculture. Various factors, such as changes in leaf color, shape, petal structure, and environmental conditions, make it difficult to achieve high accuracy with conventional models. Transfer learning is an effective solution to improve model
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1023806
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive